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Machine Characterization Based on an Abstract High-Level Language Machine
December 1989 (vol. 38 no. 12)
pp. 1659-1679
ASCII Text
x 
 
R.H. Saavedra-Barrera, A.J. Smith, E. Miya, "Machine Characterization Based on an Abstract High-Level Language Machine," IEEE Transactions on Computers, vol. 38, no. 12, pp. 1659-1679, December, 1989.
 
 
BibTex
x
 
@article{ 10.1109/12.40845,
author = {R.H. Saavedra-Barrera and A.J. Smith and E. Miya},
title = {Machine Characterization Based on an Abstract High-Level Language Machine},
journal ={IEEE Transactions on Computers},
volume = {38},
number = {12},
issn = {0018-9340},
year = {1989},
pages = {1659-1679},
doi = {http://doi.ieeecomputersociety.org/10.1109/12.40845},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Computers
TI - Machine Characterization Based on an Abstract High-Level Language Machine
IS - 12
SN - 0018-9340
SP1659
EP1679
EPD - 1659-1679
A1 - R.H. Saavedra-Barrera,
A1 - A.J. Smith,
A1 - E. Miya,
PY - 1989
KW - high-level language machine; machine characterizations; pershapes; performance; performance distributions; benchmark; performance evaluation.
VL - 38
JA - IEEE Transactions on Computers
ER -
 
Measurements are presented for a large number of machines ranging from small workstations to supercomputers. The authors combine these measurements into groups of parameters which relate to specific aspects of the machine implementation, and use these groups to provide overall machine characterizations. The authors also define the concept of pershapes, which represent the level of performance o

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Index Terms:
high-level language machine; machine characterizations; pershapes; performance; performance distributions; benchmark; performance evaluation.
Citation:
R.H. Saavedra-Barrera, A.J. Smith, E. Miya, "Machine Characterization Based on an Abstract High-Level Language Machine," IEEE Transactions on Computers, vol. 38, no. 12, pp. 1659-1679, Dec. 1989, doi:10.1109/12.40845
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